Package: mlpwr
Title: A Power Analysis Toolbox to Find Cost-Efficient Study Designs
Version: 1.1.1.9000
Authors@R: c(
    person("Felix", "Zimmer", , "felix.zimmer@mail.de", role = c("aut", "cre"),
           comment = c(ORCID = "0000-0002-8127-0007")),
    person("Rudolf", "Debelak", , "rudolf.debelak@psychologie.uzh.ch", role = c("aut"),
           comment = c(ORCID = "0000-0001-8900-2106")),
    person("Marc", "Egli", , "eglimar@ethz.ch", role = c("ctb"))
  )
Description: We implement a surrogate modeling algorithm to guide
        simulation-based sample size planning. The method is described
        in detail in our paper (Zimmer & Debelak (2023)
        <doi:10.1037/met0000611>). It supports multiple study design
        parameters and optimization with respect to a cost function. It
        can find optimal designs that correspond to a desired
        statistical power or that fulfill a cost constraint. We also
        provide a tutorial paper (Zimmer et al. (2023)
        <doi:10.3758/s13428-023-02269-0>).
License: GPL (>= 3)
LazyData: true
URL: https://github.com/flxzimmer/mlpwr
BugReports: https://github.com/flxzimmer/mlpwr/issues
Imports: utils, stats, DiceKriging, digest, ggplot2, randtoolbox,
        rlist, rgenoud
Suggests: knitr, lme4, lmerTest, mirt, pwr, rmarkdown, simr, sn, tidyr,
        WeightSVM
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.2
VignetteBuilder: knitr
Depends: R (>= 4.1.0)
Config/pak/sysreqs: libxml2-dev
Repository: https://flxzimmer.r-universe.dev
Date/Publication: 2024-10-04 09:49:11 UTC
RemoteUrl: https://github.com/flxzimmer/mlpwr
RemoteRef: HEAD
RemoteSha: 133bfe8a91ce71e9d9f1c2a18d258ced157f60f7
NeedsCompilation: no
Packaged: 2026-07-03 09:45:40 UTC; root
Author: Felix Zimmer [aut, cre] (ORCID:
    <https://orcid.org/0000-0002-8127-0007>),
  Rudolf Debelak [aut] (ORCID: <https://orcid.org/0000-0001-8900-2106>),
  Marc Egli [ctb]
Maintainer: Felix Zimmer <felix.zimmer@mail.de>